Nonlinear Model Predictive Control For Bioethanol Fermentation Process

The bioethanol fermentation process has a complex dynamics and is inherently nonlinear. The nonlinearity behavior of the process is caused by the variation in the biomass composition with the operating conditions while the constraints inherited by the process increase the process complexity. Due...

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主要作者: Mohd, Noraini
格式: Thesis
語言:English
出版: 2014
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spelling my-usm-ep.610832024-09-10T02:50:08Z Nonlinear Model Predictive Control For Bioethanol Fermentation Process 2014-02 Mohd, Noraini TP1-1185 Chemical technology The bioethanol fermentation process has a complex dynamics and is inherently nonlinear. The nonlinearity behavior of the process is caused by the variation in the biomass composition with the operating conditions while the constraints inherited by the process increase the process complexity. Due to these reasons, the modelling and the control of the bioethanol fermentation process is difficult and the application of model based control strategies often lead to a better performance. In this work, a Nonlinear Model Predictive Controller (NMPC), which is one of the well-known model control strategies, has been developed to control the product concentration and the fermenter temperature of the bioethanol fermentation process. 2014-02 Thesis http://eprints.usm.my/61083/ http://eprints.usm.my/61083/1/24%20Pages%20from%2000001780505.pdf application/pdf en public masters Perpustakaan Hamzah Sendut Pusat Pengajian Kejuruteraan Kimia
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic TP1-1185 Chemical technology
spellingShingle TP1-1185 Chemical technology
Mohd, Noraini
Nonlinear Model Predictive Control For Bioethanol Fermentation Process
description The bioethanol fermentation process has a complex dynamics and is inherently nonlinear. The nonlinearity behavior of the process is caused by the variation in the biomass composition with the operating conditions while the constraints inherited by the process increase the process complexity. Due to these reasons, the modelling and the control of the bioethanol fermentation process is difficult and the application of model based control strategies often lead to a better performance. In this work, a Nonlinear Model Predictive Controller (NMPC), which is one of the well-known model control strategies, has been developed to control the product concentration and the fermenter temperature of the bioethanol fermentation process.
format Thesis
qualification_level Master's degree
author Mohd, Noraini
author_facet Mohd, Noraini
author_sort Mohd, Noraini
title Nonlinear Model Predictive Control For Bioethanol Fermentation Process
title_short Nonlinear Model Predictive Control For Bioethanol Fermentation Process
title_full Nonlinear Model Predictive Control For Bioethanol Fermentation Process
title_fullStr Nonlinear Model Predictive Control For Bioethanol Fermentation Process
title_full_unstemmed Nonlinear Model Predictive Control For Bioethanol Fermentation Process
title_sort nonlinear model predictive control for bioethanol fermentation process
granting_institution Perpustakaan Hamzah Sendut
granting_department Pusat Pengajian Kejuruteraan Kimia
publishDate 2014
url http://eprints.usm.my/61083/1/24%20Pages%20from%2000001780505.pdf
_version_ 1811772875968872448